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Cybersecurity Challenges in the Uptake of Artificial Intelligence in Autonomous Driving

Dede, G., Hamon, R., Junklewitz, H., Naydenov, R., Malatras, A. and Sanchez, I., Cybersecurity challenges in the uptake of artificial intelligence in autonomous driving, EUR 30568 EN, Publications Office of the European Union, Luxembourg, 2021, ISBN 978-92-76-28646-2, doi:10.2760/551271, JRC122440.

This report, drafted jointly by ENISA and JRC, describes the policy context at both the European and international levels. It delves then into the technical aspects of AI in the automotive sector, with the aims to better comprehend the technological concerns and to get a sense of the level of integration of AI in AV. This includes an extended description of the areas in which AI plays a role, to ensure the proper implementation of cognitive capabilities inside automotive systems. Moreover, a state-of-the-art literature survey on security of AI in the automotive context is provided as well as a set of challenges and recommendations to improve AI security in AVs and mitigate potential threats and risks.

Read more about it on ENISA at 
https://www.enisa.europa.eu/publications/enisa-jrc-cybersecurity-challenges-in-the-uptake-of-artificial-intelligence-in-autonomous-driving
 

Related file(s):

ENISA-JRC Report - Cybersecurity Challenges in the Uptake of Artificial Intelligence in Autonomous Driving.pdf (1.99 MB)